Edge Hound vs Subquadratic
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Edge Hound compared with Subquadratic
| Detail | 
Edge Hound | 
Subquadratic |
|---|
| What it does | AI decision intelligence layer for capital markets that delivers explainable trade ideas and market research
| Efficiency is Intelligence
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| Stage | Not given
| Startup
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| Founded | Not given
| Not given
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| Based in | BG
| US
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| Pricing model | Freemium
| Paid
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| Pricing | Free tier and paid subscription plans available. Free trial of 7 days offered for new subscribers.
| Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
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| Key features | - Customizable widgets with iFrame or web component integration
- Programmable API layer for custom agents and workflows
- Audit trails and model governance for regulated markets
- Real-time market data integration including filings and earnings calls
- Multi-agent reasoning architecture
- Community Discord for self-directed investors
| - 384K token context window
- Multimodal input support
- 100K tokens processed in less than a second
- Structured output for direct code use
- Subquadratic Sparse Attention algorithm for efficient compute
- $0.04 per 1M tokens pricing
- Customer content not used for model training
- Data retention limited to 60 days
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| What makes it different | - Autonomous AI agents that research and evaluate trades instead of just providing data or chat
- Thesis-driven trade ideas with conviction levels, not generic signals
- Built for regulated markets from inception with compliance infrastructure
- Already in production with measurable impact on engagement and retention
- Measurable alpha with lower drawdowns compared to Buy & Hold
| - First long-context decision model purpose-built for enterprise work
- Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
- Tied for #1 on Artificial Analysis Decision Index
- Processes entire codebase or data room in single context window
- Speeds agent reasoning from minutes to seconds
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 21 ● no change since last check | 52 ● no change since last check |
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| Trust Flow (Majestic) | 7 | 17 |
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| Citation Flow (Majestic) | 27 | 37 |
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| Referring domains (Majestic) | 133 | 654 |
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6 details filled in for both companies.
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